Hello, Habr! Earlier, we published 3 out of 5 articles in our series featuring interesting courses from Microsoft. Today, we present the fourth part, where we will discuss the latest courses on Azure Cloud.
By the way!
- All courses are free (you can even try paid products for free);
- 5/6 in Russian;
- You can start learning instantly;
- Upon completion, you will receive a badge for successfully completing the training.
Join us, details below!
All articles in the series
This block will be updated with the release of new articles
- ** the ********** ****** from M******** on *******
1. Container Administration in Azure
Azure Container Instances are the fastest and simplest way to run containers in Azure. This training outline will help you learn how to create and manage containers and achieve flexible scaling for Kubernetes using ACI.
Course Modules:
- Creating a container web application using Docker;
- Creating and storing container images using the Azure Container Registry service;
- Running Docker containers using the Azure Container Instances service;
- Deploying and running a container web application using Azure App Service;
- Overview of Azure Kubernetes Service.
2. Data Engineering with Azure Databricks
Discover how to effectively work with Azure Databricks and accelerate solution setup. Manage data in SQL Azure data warehouse using built-in connector services. Overview of the data services available in Azure. Create optimized workflows and work with the interactive analytics workspace based on Apache Spark. By the way, the course is expected to take about 8 hours.
Modules:
- Overview of Azure Databricks;
- Accessing SQL Data Warehouse instances using Azure Databricks;
- Retrieving data using Azure Databricks;
- Reading and writing data with Azure Databricks;
- Basic data transformations in Azure Databricks;
- Performing advanced data transformations in Azure Databricks;
- Creating data pipelines using Databricks Delta;
- Working with streaming data in Azure Databricks;
- Creating data visualizations using Azure Databricks and Power BI.
3. Developing Effective Solutions in Azure
Learn how to design and develop reliable, scalable, and high-performance solutions in Azure by studying the key features of effective architecture.
By completing this 4.5-hour course, you will learn the main criteria for successful Azure architecture, including security-focused design, performance and scalability, operational efficiency, high effectiveness, and availability. Join in!
4. Working with NoSQL Data in Azure Cosmos DB
NoSQL data is an efficient way to store information that doesn’t fit the requirements of a SQL relational database. Learn how to work with NoSQL data anywhere using the Azure Portal, the Azure Cosmos DB extension for Visual Studio Code, and the .NET Core SDK for Azure Cosmos DB while ensuring high availability for users regardless of their location.
Join in to learn NoSQL in Azure Cosmos DB!
5. Implementing Data Warehousing with Azure SQL Data Warehouse
Azure SQL Data Warehouse provides a scalable relational data store for large data sets, capable of reaching several petabytes. In this training outline, you will learn how Azure SQL Data Warehouse can scale to such levels using a Massively Parallel Processing (MPP) architecture. Create a data warehouse in just a few minutes and use familiar query language to build reports. Load large volumes of data quickly and ensure that the data warehouse is secure.
This training outline covers the following topics.
- Information on creating Azure SQL Data Warehouse;
- Executing queries and visualizing data from Azure SQL Data Warehouse;
- Importing data into SQL Data Warehouse using Polybase;
- Information about the security controls provided by Azure Storage and Azure SQL Data Warehouse.
6. Building applications with Azure DevOps [in English]
Azure DevOps enables you to build, test, and deploy any applications in the cloud or on-premises. Learn how to set up build pipelines that continuously compile, test, and validate applications.
This training outline covers the following topics.
- Collaborating on application development using Azure Pipelines and GitHub;
- Running automated tests in the pipeline to verify code quality;
- Scanning source code and third-party components for potential vulnerabilities;
- Defining multiple pipelines that work together to build the application;
- Building applications with cloud-hosted agents and your own build agents.
Conclusion
We will soon share the latest installment in this series. It's going to be really cool, and we hope you will enjoy it. And yes, you can still guess what it will contain. The hint is hidden in the table of contents.
*Please note that you may need a secure connection to complete some modules.
Source: habr.com
